基于病案首页的患者来源空间可视化研究
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摘要
目的探索患者来源的可视化表达方法 ,为管理者明确住院患者分布特征、合理调整医疗资源配置及布局和调整管理策略提供科学依据。方法以2014年1月-2017年12月出院主要诊断为脊柱畸形的1270例患者的信息为研究对象。利用R语言中的REmap、rjson、xlsx对数据进行清洗和分析,将患者的来源分布制作成电子地图。结果 1270例住院患者中,男女之比为1.24:1,50岁以下患者占住院总数的72.2%,患者来源于27个省市,覆盖面广,四川省患者就医比例占54.0%,西藏自治区患者占7.9%,贵州省患者占比6.0%。结论可视化分析可清晰显示收治患者主要来源于四川省周围,医院应加强宣传让更多患者受益,同时为医院的自身发展提供可靠的数据支持。
Objectives To explore the visual expression method of patient source, and provide scientific basis for managers to define the distribution characteristics of inpatients, rationally adjust the allocation and layout of medical resources and adjust management strategies. Methods REmap, rjson and XLSX in R language were used to analyze the data, and the distribution of patients is formed into an electronic map. Results Among the 1270 hospitalized patients,the ratio of male to female patients was 1.62 : 1, 50 years old, accounting for 72. 2% of the total number of hospitalized patients. The patients were from 27 provinces and municipalities, covering a wide range of coverage. The proportion of patients receiving medical treatment in Sichuan province was 54. 0%, that in Tibet autonomous region was 7. 9%, and that in Guizhou province was 6. 0%. Conclusions By visual analysis, the characteristics of patients admitted could be clearly displayed, and the reliable data support could be provided for the development of the hospital.
Objectives To explore the visual expression method of patient source, and provide scientific basis for managers to define the distribution characteristics of inpatients, rationally adjust the allocation and layout of medical resources and adjust management strategies. Methods REmap, rjson and XLSX in R language were used to analyze the data, and the distribution of patients is formed into an electronic map. Results Among the 1270 hospitalized patients,the ratio of male to female patients was 1.62 : 1, 50 years old, accounting for 72. 2% of the total number of hospitalized patients. The patients were from 27 provinces and municipalities, covering a wide range of coverage. The proportion of patients receiving medical treatment in Sichuan province was 54. 0%, that in Tibet autonomous region was 7. 9%, and that in Guizhou province was 6. 0%. Conclusions By visual analysis, the characteristics of patients admitted could be clearly displayed, and the reliable data support could be provided for the development of the hospital.
引文
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[2]宋波,杨艳利,冯云霞.医疗大数据研究进展[J].转化医学杂志,2016, 5(5):298-300, 316.
[3]杜军,郭慧敏,曾昭宇,等.基于R的Apriori算法在超长住院患者信息挖掘中的应用[J].中国病案,2016, 16(12):52-54.
[4]杜军,郭慧敏,杜静静,等.基于关联规则的病案首页的数据挖掘初探[J].中国病案,2016, 17(8):45-47.
[5]山珂,徐凌忠,王兴洲,等.基于GIS的我国卫生资源配置空间分析[J].中国卫生统计,2013, 30(3):339-342.
[6]夏昌,陈万青.地理空间分析技术在肿瘤流行病学研究中的应用[J].肿瘤防治研究,2016, 43(9):814-818.
[7]刘懿婕,张俊廷.国家临床重点专科科室文化建设的探索与实践[J].中国医院管理,2016,36(8):71-72.